Releases: JuliaAI/MLJLinearModels.jl
Releases · JuliaAI/MLJLinearModels.jl
v0.6.2
28 Feb 00:51
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v0.6.1
22 Feb 02:12
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MLJLinearModels v0.6.1
Diff since v0.6.0
Closed issues:
Could we make regularised loss functions independent of the sample size? (#108 )
Merged pull requests:
v0.6.0
10 Jan 09:49
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v0.5.7
08 Dec 15:29
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MLJLinearModels v0.5.7
Diff since v0.5.6
Closed issues:
Feature names for LinearRegressor fitted_params (#60 )
Multinomial regression has too many parameters (#105 )
L1 and standarization (#106 )
Merged pull requests:
v0.5.6
10 Aug 11:28
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MLJLinearModels v0.5.6
Diff since v0.5.5
Closed issues:
Issue to trigger new releases (#97 )
Docs broken (#99 )
Problem with logistic regression (#104 )
Merged pull requests:
Trivial commit to trigger doc generation (#103 ) (@ablaom )
v0.5.5
20 Jul 21:08
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MLJLinearModels v0.5.5
Diff since v0.5.4
Closed issues:
MultinomialClassifier does not seem consistent (#102 )
Merged pull requests:
v0.5.4
21 Apr 01:14
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MLJLinearModels v0.5.4
Diff since v0.5.3
Merged pull requests:
CompatHelper: bump compat for "MLJModelInterface" to "1.0" (#95 ) (@github-actions[bot])
For a 0.5.4 release (#96 ) (@ablaom )
v0.5.3
31 Jan 10:36
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v0.5.2
28 Jan 11:28
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v0.5.1
24 Sep 12:24
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MLJLinearModels v0.5.1
Diff since v0.5.0
Closed issues:
Extend or bump [compat] for Optim.jl (#79 )
Merged pull requests: